Mood based Music System
نویسندگان
چکیده
منابع مشابه
A Mood-Based Music Classification and Exploration System
Mood classification of music is an emerging domain of music information retrieval. In the approach presented here features extracted from an audio file are used in combination with the affective value of song lyrics to map a song onto a psychologically based emotion space. The motivation behind this system is the lack of intuitive and contextually aware playlist generation tools available to mu...
متن کاملMusic Mood Classification Based on Voting
Our system used 78-dimension feature vector to represent audio segments. These features expressed intensity, timbre and rhythm information. Each 30s-long segment is also divided into three 10s-long clips. SVM classifier is used to get the predict mood cluster. And the final result is acquired through voting.
متن کاملMOOD: A Concurrent C++-Based Music Language
MOOD (Musical Object-Oriented Dialect) is a C++ class library for computer music [1]. It runs on SPARC, MIPS, and MC680x0-based UNIX machines and on the Apple Macintosh, and uses MIDI I/O. It is designed for algorithmic composition, interactive systems, and cognition research, and is well-suited to any application that needs concurrency and precise timing control. MOOD borrows many ideas from F...
متن کاملMood Dependent Music Generator
Music is one of the most expressive media to show and manipulate emotions, but there have been few studies on how to generate music connected to emotions. Such studies have always been shunned upon by musicians affirming that a machine cannot create expressive music, as it’s the composer’s and player’s experiences and emotions that get poured into the piece. At the same time another problem is ...
متن کاملMusic Mood Classification
The aim of the project was to develop a music mood classifier. There are many categories of mood into which songs may be classified, e.g. happy, sad, angry, brooding, calm, uplifting, etc. People listen to different kinds of music depending on their mood. The development of a framework for estimation of musical mood, robust to the tremendous variability of musical content across genres, artists...
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ژورنال
عنوان ژورنال: International Journal of Scientific Research in Computer Science and Engineering
سال: 2018
ISSN: 2320-7639
DOI: 10.26438/ijsrcse/v6i3.2730